CVE-2026-40148: MervinPraison PraisonAI · Data Amplification
Affects MervinPraison PraisonAISource CVE Database V5
Not known to be exploited · CVSS 6.5 Medium : upgrade to 4.5.128 when convenient.
Data as of 30 Oct 2026, 11:52 UTC
- EPSS
- 0.2% chance of exploitation in 30 days – higher than 15% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available – fixed in 4.5.128
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:HExploitation evidence
Disclosed: evidence found.
CVE published 9 Apr 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.
What to do
Upgrade PraisonAI and mervinpraison/PraisonAI to 4.5.128.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| MervinPraisonPraisonAI | Affected
| Fixed in
|
GitHubmervinpraison/PraisonAIpkg:github/mervinpraison/PraisonAIOther threats | Affected
| Fixed in
|
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
This vulnerability is fixed in PraisonAI version 4.5.128. Users should upgrade to version 4.5.128 or later to remediate this issue. Patch status is not explicitly confirmed beyond this fix version; therefore, verify with the vendor advisory for the latest remediation guidance.
Description
PraisonAI is a multi-agent teams system. Prior to 4.5.128, the _safe_extractall() function in PraisonAI's recipe registry validates archive members against path traversal attacks but performs no checks on individual member sizes, cumulative extracted size, or member count before calling tar.extractall(). An attacker can publish a malicious recipe bundle containing highly compressible data (e.g., 10GB of zeros compressing to ~10MB) that exhausts the victim's disk when pulled via LocalRegistry.pull() or HttpRegistry.pull(). This vulnerability is fixed in 4.5.128.